Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of modelling and application in five climatic regions
Department of Building Services Engineering, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China; Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China; National Center for International Research Collaboration in Building Safety and Environment, Hunan UniversityHunan 410082, China; College of Civil Engineering, Hunan University, Changsha, Hunan 410082, China
Recommended Citation:
Zhou Y.,Zheng S.,Zhang G.. Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of modelling and application in five climatic regions[J]. Energy,2020-01-01,192